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Fundamentals of Machine Learning for Software Engineers/

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Gradient Descent

Discover the math behind gradient descent to deepen our understanding by exploring graphical representations.

We'll cover the following...

Background
The math behind gradient descent
Downhill riding

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How Machine Learning Works

Our First Learning Program

Walking the Gradient

Hyperspace

A Discern Machine

Get Real

The Final Challenge

The Perceptron

Designing the Network

Building the Network

Training the Network

How Classifiers Work

Batchin’ Up

The Zen of Testing

Let’s Do Development

A Deeper Kind of Network

Diabetes Prediction Using Keras

Defeating Overfitting

Taming Deep Networks

Beyond Vanilla Networks

Into the Deep

Recognize Handwritten Digits Using a Deep Neural Network

Gradient Descent